Applied Scientist , AWS Healthcare-AI

Amazon Science

Seattle (WA)

On-site

USD 142,000 - 193,000

Full time

35 hours ago
Be an early applicant

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Amazon Science in Seattle is seeking a Senior Applied Scientist to join our team and advance AI-driven clinical solutions that transform clinician workflows and patient care. You will lead research and develop scalable ML methods, collaborating across teams to turn breakthroughs into product features.

The role focuses on NLU, deep learning, and foundation models, with opportunities to influenceAWS and the broader AI research community. This is a full-time role based in Seattle.

Qualifications

  • 3+ years of building models for business application experience.
  • PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience.
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals.
  • Experience programming in Java, C++, Python or related language.
  • Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Responsibilities

  • Contribute to research and development of new generative AI applications.
  • Define research directions and evaluate new ML techniques.
  • Collaborate with scientists to translate research into products.

Skills

Java
C++
Python
Models for business applications
Deep learning

Education

PhD
Master's degree in CS/CE/ML

Tools

Unix/Linux

Job description

Description

At AWS Healthcare AI, we're revolutionizing healthcare delivery through AI solutions that serve millions globally. As a pioneer in healthcare technology, we're building next-generation services that combine Amazon's world-class AI infrastructure with deep healthcare expertise. Our mission is to accelerate our healthcare businesses by delivering intuitive and differentiated technology solutions that solve enduring business challenges. The AWS Healthcare AI organization includes services such as HealthScribe, Comprehend Medical, HealthLake, and more.

We're seeking a Senior Applied Scientist to join our team working on our AI driven clinical solutions that are transforming how clinicians interact with patients and document care.

Key job responsibilities

To be successful in this mission, we are seeking an Applied Scientist to contribute to the research and development of new, highly influencial AI applications that re-imagine experiences for end-customers (e.g., consumers, patients), frontline workers (e.g., customer service agents, clinicians), and back-office staff (e.g., claims processing, medical coding). As a leading subject matter expert in NLU, deep learning, knowledge representation, foundation models, and reinforcement learning, you will collaborate with a team of scientists to invent novel, generative AI-powered experiences. This role involves defining research directions, developing new ML techniques, conducting rigorous experiments, and ensuring research translates to impactful products. You will be a hands‑on technical innovator who is passionate about building scalable scientific solutions. You will set the standard for excellence, invent scalable, scientifically sound solutions across teams, define evaluation methods, and lead complex reviews. This role wields significant influence across AWS, Amazon, and the global research community.

About The Team
Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Basic Qualifications
  • 3+ years of building models for business application experience
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience programming in Java, C++, Python or related language
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
  • Experience using Unix/Linux
  • Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Mountain View - 171,600.00 - 222,200.00 USD annually

USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Applied Scientist , AWS Healthcare-AI
Applied Scientist , AWS Healthcare-AI

Amazon Web Services (AWS) • Seattle (WA)

On-site
USD 143,000 - 193,000
Applied Scientist , AWS Healthcare-AI
Applied Scientist , AWS Healthcare-AI

Amazon Web Services (AWS) • Mountain View (CA)

On-site
USD 172,000 - 222,000
Applied Scientist II, AWS Agentic AI
Applied Scientist II, AWS Agentic AI

Amazon Science • Seattle (WA)

On-site
USD 143,000 - 193,000
Benefits package
Applied Scientist, AWS Agentic AI
Applied Scientist, AWS Agentic AI

Socket.dev • Santa Clara (CA)

On-site
USD 172,000 - 222,000
Sign-on payments
RSUs
Health insurance
Applied Scientist II, AWS Agentic AI
Applied Scientist II, AWS Agentic AI

Amazon Web Services (AWS) • Seattle (WA)

On-site
USD 143,000 - 193,000
Software Dev Engineer II, AWS Healthcare AI
Software Dev Engineer II, AWS Healthcare AI

Amazon • Mountain View (CA)

On-site
USD 165,000 - 223,600
Health insurance
401(k) matching
Paid time off
+2
Sr. SDM, AWS Healthcare AI
Sr. SDM, AWS Healthcare AI

Amazon • Seattle (WA)

On-site
USD 220,000 - 298,000
Health insurance
401(k) matching
Paid time off
Applied Scientist, AWS Quick
Applied Scientist, AWS Quick

Amazon Web Services (AWS) • New York (NY)

On-site
USD 172,000 - 223,000
Health insurance
401(k) matching
Paid time off
+1
Applied Scientist, AWS Quick
Applied Scientist, AWS Quick

Amazon Web Services (AWS) • Santa Clara (CA)

Hybrid
USD 172,000 - 222,000
Hybrid work model near Amazon offices
Applied Scientist, AWS Quick
Applied Scientist, AWS Quick

Amazon Web Services (AWS) • Seattle (WA)

Hybrid
USD 143,000 - 193,000
Health insurance
401(k) matching
Paid time off
+1